Borrowing it
Nothing to install: this file belongs to Travis-Gilbert/Railway-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Travis-Gilbert/Railway-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/Travis-Gilbert/Railway-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/travis-gilbert/railway-mcp/claude-md)<a href="https://agentmods.dev/instructions/travis-gilbert/railway-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/travis-gilbert/railway-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/travis-gilbert/railway-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/travis-gilbert/railway-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00837 | $0.00837 |
| Opus 5 | $0.00418 | $0.00418 |
| Sonnet 5 | $0.00167 | $0.00167 |
| Haiku 4.5 | $0.00084 | $0.00084 |
Grade A, and why
Railway-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Railway MCP Server
Python FastMCP server wrapping the Railway GraphQL API for use in claude.ai.
Quick Reference
- Entrypoint:
python -m railway_mcp - All tools prefixed with
railway_ - GraphQL endpoint: https://backboard.railway.app/graphql/v2
- Auth: Bearer token via RAILWAY_API_TOKEN env var
- Transport: streamable-http on Railway, stdio for local dev
File Map
railway_mcp/server.py- FastMCP instance + all 23 tool registrationsrailway_mcp/client.py- Async GraphQL client with error handlingrailway_mcp/queries.py- All GraphQL query/mutation string constantsrailway_mcp/models.py- Pydantic v2 input models for every toolrailway_mcp/formatting.py- Markdown/JSON response formatting helpersrailway_mcp/__main__.py- Entrypoint (transport + port from env)railway_mcp/__init__.py- Package marker
Architecture
This follows the exact same pattern as Travis-Gilbert/ticktick-mcp:
- FastMCP handles MCP protocol + transport (streamable-http or stdio)
- httpx.AsyncClient talks to Railway's GraphQL v2 API
- Pydantic models validate all tool inputs
- Every tool returns formatted markdown or JSON based on response_format param
Key Patterns
- The GraphQL client is a module-level singleton (get_client())
- All tools catch RailwayAPIError and return error strings (never raise)
- Relay-style pagination (edges/node) is extracted via _extract_edges()
- Destructive tools (delete_variable, bulk_set with replace=True, delete_service) have destructiveHint=True
- Projects/services/environments are referenced by UUID strings
- Railway's staged config model: serviceInstanceUpdate writes config, then serviceInstanceDeployV2 applies it. The tools guide users through this two-step flow via descriptions.
Tool Count
23 total: 10 read-only, 13 write (3 destructive)
Categories:
- Projects (2): list, get
- Services (6): list, get, create, delete, connect, disconnect
- Service Config (1): update (Dockerfile path, start command, root dir, health check, replicas)
- Environments (3): list, create, duplicate
- Variables (5): list, list unresolved, set, bulk set, delete
- Deployments (6): status, build logs, deploy logs, redeploy, deploy (fresh), restart
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 89 lines · 837 tokens per session scan A 90b860c8f1b6
Railway-mcp CLAUDE.md is an instructions file published in the GitHub repository Travis-Gilbert/Railway-mcp (0 stars, last pushed 5mo ago), licensed MIT. It adds 837 tokens to every session, about $0.0042 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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